{"id":"W4388962081","doi":"10.1007/978-3-031-44742-6_5","title":"Simple Additive Weighting (SAW) Method in Fuzzy Environment","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Weighting; Simple (philosophy); Fuzzy logic; Artificial intelligence; Computer science; Mathematics; Pattern recognition (psychology); Mathematical optimization; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005626604,0.0005898894,0.001200379,0.001597365,0.0002050507,0.0001481508,0.001287643,0.00026476,0.001304833],"category_scores_gemma":[0.00607695,0.0005262222,0.0002636514,0.000519632,0.0005005202,0.0002170353,0.001357463,0.0008032303,0.003511636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006060634,"about_ca_system_score_gemma":0.0001231125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002007304,"about_ca_topic_score_gemma":0.0001360228,"domain_scores_codex":[0.9917281,0.0003462038,0.002661017,0.001696824,0.003062987,0.0005048432],"domain_scores_gemma":[0.9667174,0.03119546,0.0008516286,0.0006084273,0.0005326205,0.00009449632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005432826,0.00003710729,0.0001846745,0.00002422072,0.0001323104,0.0004769977,0.003172011,0.4947309,0.000003820949,0.1992323,0.004621819,0.2973295],"study_design_scores_gemma":[0.0001130866,0.00004358033,0.0004674794,0.0004172639,0.00001043924,0.000008418396,0.002149389,0.05955527,0.00001662867,0.9124156,0.02433062,0.0004722832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000166774,0.003784259,0.7913077,0.0008008277,0.003882462,0.001626125,0.0007199044,0.0001675611,0.1975444],"genre_scores_gemma":[0.0894043,0.005380591,0.5654807,0.001498422,0.001519496,0.0004218123,0.0003177403,0.000444018,0.3355329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7131832,"threshold_uncertainty_score":0.9997189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.442726951712455,"score_gpt":0.5200099438864115,"score_spread":0.07728299217395651,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}